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People Analytics Internship

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ABB

Jan 18, 2025

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    People, HR & Administration
  • Madrid
    Remote

Requirements

  • Education: master's degree in People Analytics.
  • Languages: High English level.
  • Additional knowledge: Office package, SAS.

Responsibilities

  • Start your professional career in a leading multinational in its sector through our internship program for students that offers: 6 months with the possibility of extending another 6. Schedule compatible with your studies. Competitive remuneration. Specific technical training. Possibility to carry out your TFG/TFM and participate in real projects. Flexibility and the possibility of teleworking. Holidays and days off for study and exams. Objective of the internship: In this role, you will have the opportunity to develop end-to-end business intelligence framework for online products and SAAS solutions based on requirements that include recommending an appropriate architecture (on-premises/cloud), analytics, and reporting. Each day, you will evaluate business data to produce meaningful insights and metrics and to identify trends that could improve business performance. You will also showcase your expertise by designing new dashboards using best practices and intuitive visualization. Tasks to be performed: Executing quantitative analysis that translate data into actionable insights. Interpreting data, analyzing results using statistical techniques, and providing ongoing reports. Owning the knowledge capture and transferring of under-the-hood systems such as various architectural and design aspects and ensures they are well documented to maintain and enhance the overall system integrity. Contributing to design and coding related standards, technology, and tool selections and defines new data collection and analysis processes.

FAQs

What is the duration of the People Analytics Internship?

The internship lasts for 6 months, with the possibility of extending it for another 6 months.

What is the work schedule for the internship?

The internship schedule is compatible with your studies, allowing for flexibility.

What qualification is required for this internship?

A master's degree in People Analytics is required for this internship.

What language proficiency is expected for candidates?

Candidates are expected to have a high level of English proficiency.

What technical skills are preferred for this role?

Knowledge of the Office package and SAS is preferred for this role.

What type of training will be provided to interns?

Interns will receive specific technical training as part of the internship program.

Will interns have the opportunity to work on real projects?

Yes, interns will have the opportunity to participate in real projects during the internship.

What kind of tasks will interns be performing?

Interns will execute quantitative analysis, interpret data, analyze results, contribute to documentation, and help in designing new data collection and analysis processes.

Who will the intern report to?

The intern will report to the Technology Product Manager.

Are there any benefits related to study and exams?

Yes, interns will receive holidays and days off for study and exams.

We energize the transformation of society and industry to achieve a more productive, sustainable future

Manufacturing & Electronics
Industry
10,001+
Employees
1988
Founded Year

Mission & Purpose

ABB is a technology leader in electrification and automation, enabling a more sustainable and resource-efficient future. The company’s solutions connect engineering know-how and software to optimize how things are manufactured, moved, powered and operated. Building on more than 130 years of excellence, ABB’s ~105,000 employees are committed to driving innovations that accelerate industrial transformation.

Culture & Values

  • Courage

    ​​​​​​​Take action and manage consequences. Speak up and ask for help. Take calculated risks to create success

  • Care

    Take care of our customers, our people and the environment. Respect and value differences. Do what is right and act with integrity

  • Curiosity

    Believe there is always a better way. Lead with technologies and innovations. Learn from failures and successes

  • Collaboration

    Believe smart people collaborate Build on each other’s strengths and success Partner with our customers